Predictive Aviation Analytics

Predictive Aviation Analytics

Airlines And Aviation, 813 El Serrano Ct Sw, Albuquerque, New Mexico, 87105, United States, 1-10 Employees

predictiveaviation.com

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Who is PREDICTIVE AVIATION ANALYTICS

Predictive Aviation offers a breakthrough software program that uses current sensors and Flight Data Recorder (FDR) information to accurately predict probable aircraft component failure. ...

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industries-icon Industry: Airlines and Aviation

SIC SIC Code: 8748

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Frequently Asked Questions Regarding Predictive Aviation Analytics

Answer: Predictive Aviation Analytics's headquarters are located at 813 El Serrano Ct Sw, Albuquerque, New Mexico, 87105, United States

Answer: Predictive Aviation Analytics's official website is https://predictiveaviation.com

Answer: Predictive Aviation Analytics's revenue is Under $1 Million

Answer: Predictive Aviation Analytics's SIC: 8748

Answer: Predictive Aviation Analytics has 1-10 employees

Answer: Predictive Aviation Analytics is in Airlines and Aviation

Answer: Predictive Aviation Analytics contact info: Phone number: Website: https://predictiveaviation.com

Answer: Predictive Aviation offers a breakthrough software program that uses current sensors and Flight Data Recorder (FDR) information to accurately predict probable aircraft component failure. Inflight data is downloaded from the aircrafts FDR to computers running our software where anomalies are identified and analyzed. Component failure probabilities are then forwarded to airline maintenance management for action. Aircraft component failures cause flight diverts, delays, and cancellations. The cost is hundreds of millions of dollars in lost productivity, aircraft and property. Predictive Aviation Analytics Inc. can save an airline millions of dollars. The patent pending predictive analytics uses computer learning techniques to weigh the data for better statistical analysis. When the program recognizes outlying anomalies it sends warning information in time to schedule corrective maintenance. Thus planes are less likely to break down, delay service, or require costly down time while parts are flown in.

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